Data Platform Engineer

Abu Dhabi, United Arab Emirates | Posted on 01/16/2026

This role owns the foundations that everything else depends on.

As a Data Platform Engineer at Sentra

AI, you will build and operate the infrastructure, tooling, and services that underpin large-scale, enterprise data and AI systems, spanning numerous source systems, high data volumes, and extensive pipeline estates.

If you have not operated platforms in production, handled incidents, or taken accountability for reliability and cost, this role is not for you.

The Operating Context

Sentra

AI is delivering a multi-year data and AI transformation for a complex enterprise.

• Migration from legacy on‑prem and bespoke platforms
• A modern cloud lakehouse architecture supporting batch and real‑time workloads
• Enterprise analytics, operational reporting, and AI workloads at scale
• High expectations around governance, security, and availability

Your Accountability

You are accountable for the stability, performance, security, and cost efficiency of the data platform.

That includes:

• Building and maintaining cloud infrastructure using Infrastructure as Code
• Operating and tuning distributed compute and storage services
• Running and maintaining event streaming and CDC infrastructure
• Implementing CI/CD for platform and data assets
• Monitoring, alerting, and incident response for live systems
• Supporting engineers during failures and critical delivery windows

• Cloud infrastructure using Terraform, Pulumi, or equivalent
• Distributed data processing environments and runtimes
• Event streaming platforms and integration services
• Object storage layouts, lifecycle policies, and access controls
• Observability stacks for platform and pipeline health
• Automated scaling, recovery, and cost controls

You are expected to actively use AI tools to improve reliability, automation, and operational efficiency, within defined governance standards.

This Role Is Not For You If

• You have only worked in development environments, not production
• You avoid incident ownership or operational responsibility
• You treat infrastructure as static rather than evolving systems
• You are uncomfortable balancing reliability, cost, and delivery speed
• You prefer tools over outcomes

What Strong Looks Like

• Platform reliability and performance are consistently high
• Incident frequency and recovery times decrease
• Engineers trust the platform and do not work around it
• Costs are predictable and well‑controlled
• Standards exist because they work, not because they are enforced

This is how performance is measured.

• Ownership of a core enterprise data platform
• Exposure to complex, high‑scale systems
• A team that values operational excellence
• Meritocratic progression based on impact
• Career capital that is globally credible

Final Note

Sentra

AI does not build fragile platforms.

We build systems that survive scale, scrutiny, and failure.

If you want to own infrastructure that matters and are comfortable being accountable for it, we should talk.